Find Academic Supervisors

• Ethics
• Animal Rights Theory
• Speciesism
• +4 more

Frauke Albersmeier is a Lecturer at the University of Cologne's Faculty of Philosophy. Formerly a Research and Teaching Fellow at Heinrich Heine University Düsseldorf (HHU), she specializes in ethics, animal rights theory, and conceptual analysis. She holds a PhD in Philosophy from HHU (2020) with a dissertation on 'The Concept of Moral Progress.' Her work bridges metaphilosophy, moral theory, and applied ethics, particularly focusing on speciesism, animal rights, and conceptual engineering. Education: PhD in Philosophy, Heinrich Heine University Düsseldorf (2020) Master of Arts in Philosophy, HHU (2013) Bachelor of Arts in Cultural Sciences, FernUniversität Hagen (2011) Research Interests: Her work emphasizes ethical frameworks for nonhuman animals, the nature of moral progress, and the role of language in shaping moral concepts. Key areas include speciesism critiques, solidarity theories, and the methodology of conceptual analysis in philosophy. Recent Work Trends: Recent publications explore animal rights within human rights frameworks, science denialism, and ethical challenges in animal-free research. She frequently addresses interdisciplinary questions at the intersection of ethics and scientific practice. Awards and Grants: Recipient of DFG-funded research projects, including the Collaborative Research Center 991 (2016–2020) and a current project on 'Presuppositions of Frame Theory in the History of Philosophy.' Teaching and Outreach: Leads courses on animal ethics, moral progress, and conceptual theories. Active in popularizing philosophy through workshops and podcasts (e.g., Knowing Animals Podcast, 2022). Key Collaborations: Co-edited special issues on conceptual explication and analysis. Collaborates with institutions like the Centre de recherche en éthique (Montréal) and the University of Pennsylvania.

• Cellular Toxicology
• In Vitro Methodology
• Fish Cell Biology
• +2 more

Dr. Vivian Dayeh is an Associate Professor in the Department of Biology at the University of Waterloo, where she joined in 2004 as a full-time lecturer. Her roles include Teaching Fellow, Undergrad Advisor for Biomedical Science and Medical Physiology, and coordinator of the Biotech Technician Diploma program. Ph.D. Biology, University of Waterloo (2004) M.Sc. Biology, University of Waterloo (2001) B.Sc. Biology, University of Waterloo (1999) Dr. Dayeh specializes in cellular toxicology and in vitro methodology development , focusing on alternatives to whole-organism testing in aquatic environments. Her work explores toxicant effects on fish cells, particularly gill and intestinal epithelial systems, and employs protozoa as toxicity indicators. Recent research examines temperature and nutritional stress impacts on cell viability. Her publications from 2004-2025 demonstrate expertise in fish cell culture , cytotoxicity assays , and environmental contaminant testing , with applications in regulatory toxicology and industrial effluent analysis. 2024 Service Award, Society for In Vitro Biology 2021 Fellow Award, Society for In Vitro Biology Multiple Outstanding Performance Awards (2006-2020) Jack Carlson Teaching Excellence Awards (2006, 2018) Joseph F. Morgan Awards (2002, 2003) As an educator, Dr. Dayeh teaches core courses including Introductory Cell Biology , Human Anatomy , Human Physiology , Environmental Toxicology , and Animal Cell Biotechnology . She serves on the SIVB Board and facilitates instructional skills workshops.

• Medical Informatics
• Artificial Intelligence in Healthcare
• Healthcare Data Integration
• +7 more

Prof. Martin Boeker is a Professor of Medical Informatics at the Technical University of Munich (TUM), affiliated with the TUM School of Medicine and Health. His work focuses on advancing healthcare through AI-driven solutions, interoperability frameworks, and precision medicine initiatives. Key projects include the German Medical Text Corpus (GeMTeX) and the MIRACUM DIFUTURE Alignment Hub. Expertise: Medical Informatics, AI in Healthcare, Federated Learning, Health Data Integration Key Contributions: FHIR-based systems, clinical decision support, patient-centered outcomes research Leadership: Director of the Institute for AI and Informatics in Medicine at TUM Hospital Right of the Isar Research emphasizes bridging clinical practice and data science through projects like modular health crawlers, automated guideline adherence monitoring, and cross-institutional medical NLP solutions. His work spans oncology informatics, rare disease management, and pandemic response data ecosystems. Recent articles highlight innovations in digital twins for precision oncology, federated analysis in oncology, and German-language medical NLP challenges. He collaborates internationally on EHR standardization and healthcare interoperability, contributing to the Medical Informatics Initiative (MII) and pandemic evidence ecosystems. Grants and collaborations involve the German Federal Ministry of Education and Research, European initiatives, and industry partnerships. Educational efforts focus on training future medical informatics professionals through MII competency programs.

Lee MillerView profile

Professor

• Neural Engineering
• Speech Processing
• Electrophysiology
• +3 more

Lee Miller is a Professor in the Department of Neurobiology, Physiology, and Behavior at the University of California, Davis, College of Biological Sciences. His research integrates neural engineering, physiology, and computational methods to develop communication restoration technologies and investigate sensory processing mechanisms. His primary research interests include neural engineering for speech neuroprosthetics, electrophysiological analysis of speech production, auditory neuroscience, and geometric approaches to neuromuscular signal decoding. He employs surface electromyography (EMG), electroencephalography (EEG), and computational modeling to study brain-machine interfaces for speech restoration and multisensory integration. Recent publications reveal a dominant focus on EMG-based speech neuroprostheses, with geometric and topological analysis of neuromuscular signals emerging as a key methodology. His lab has pioneered non-invasive approaches to speech articulation decoding, created standardized EMG databases, and investigated neural mechanisms of attention in speech-in-noise processing. This work bridges engineering innovation with fundamental neuroscience to address communication disorders. Professor Miller leads the Miller Lab at UC Davis, which specializes in neural engineering for communication restoration. The lab develops real-time speech synthesis systems from neural signals and investigates the physiological basis of speech production and perception using multimodal recording techniques.

• Autonomic Modulation of Cardiovascular Function
• Baroreflex Sensitivity
• Childhood Obesity and Autonomic Function
• +1 more

Dr. Peter L. Latchman serves as a Professor in the Department of Health and Movement Sciences at Southern Connecticut State University. He holds a Doctorate in Applied Physiology from Columbia University and is an Overseas Fellow of the Royal Society of Medicine. His academic career spans decades of research in autonomic cardiovascular regulation with applications to diverse populations including Young adults post-COVID-19 infection Ethnic disparities in baroreflex sensitivity Autonomic dysfunction in obese children Central hemodynamic analysis Recent scholarship focuses on autonomic modulation patterns and their implications for cardiovascular health, while his teaching portfolio encompasses both graduate and undergraduate courses in exercise physiology, cardiac rehabilitation, and medical terminology. Dr. Latchman has delivered presentations at international symposia on topics including Baroreflex sensitivity in African American populations Effects of aerobic capacity on autonomic recovery Vascular physiological assessment techniques Scientific contributions include Overseas Fellowship, Royal Society of Medicine $10,000 grant for cardiovascular assessment in autistic children (2023) He maintains active research collaborations with institutions such as East China Normal University and Hong Kong Baptist University.

• Dental Informatics
• Teledentistry
• Oral Health Policy
• +4 more

Professor Heiko Spallek is Head of School and Dean at the University of Sydney’s Sydney Dental School, leading the school’s integration with the Faculty of Medicine and Health. He also serves as Academic Lead for Digital Health and Health Service Informatics at the faculty level. His research focuses on advancing dental informatics, teledentistry, and evidence-based practice, while advocating for improved oral health policy and public health initiatives. He holds roles including director at Community Connections Australia and membership in the Charles Perkins Centre. Education: DMD, Dr. med. dent., MSBA(CIS), FACD, FAIDH Leadership: Oversees Sydney Dental School’s academic and clinical programs, emphasizing interprofessional education and digital health innovation. Research interests include leveraging big data and machine learning in dentistry, improving access to oral healthcare through teledentistry, and addressing systemic issues in dental education and policy. He has led projects on laser dentistry applications, dental caries prevention, and healthcare workforce regulation. Notable contributions include the OpenWide conference series, the BigMouth dental data repository, and advocacy for equitable dental funding in Australia. Grants include initiatives on oral hygiene in aged care and analysis of healthcare advertising perceptions. Media engagements highlight his role in public discourse on dental access and policy, including commentary on Australia’s dental crisis and aged care reforms. He actively promotes interdisciplinary collaboration through platforms like the Dental Informatics Online Community. Labs/Teams: Directs the Sydney Dental School’s research programs in informatics and public health, collaborating with national and international networks such as the National Dental PBRN.

Selja SeppäläView profile

Lecturer

• Natural Language Processing
• Applied Ontology
• Terminology
• +8 more

Dr. Selja Seppälä is a Lecturer in Business Analytics within the Department of Business Information Systems at Cork University Business School, University College Cork. She specializes in Natural Language Processing, applied ontology, terminology, and corpus studies with applications across multiple domains including linguistics, legal informatics, biomedical informatics, and education. Her research focuses on developing AI technologies that combine Large Language Models and other NLP techniques with curated ontologies to enhance data quality, transparency and trustworthiness in information systems. Dr. Seppälä currently leads the AI-LIEN project, which uses AI-powered technologies for learning analytics, and collaborates on projects investigating the impact of AI on organizations and legislative review. Natural Language Processing (NLP) Applied Ontology and Terminology Corpus Studies AI Technologies for Information Systems Large Language Models integration Legal Informatics applications Dr. Seppälä's scholarly contributions include 43 publications in international outlets and 27 open-source research artifacts. Her work has secured approximately €500,000 through competitive research grants, demonstrating significant impact in her field. Marie Skłodowska-Curie Career-FIT Fellow (2019-2022) Dr. Seppälä serves on the editorial board of Applied Ontology (IOS Press) and as Communication Co-officer and Substitute Auditor for the International Association for Ontology and its Applications (IAOA). She actively contributes to academic service as a reviewer for journals including the European Journal of Information Systems and Terminology, and regularly participates in program committees for international conferences focused on computational linguistics, natural language processing, applied ontology, and financial technology applications. At UCC, she contributes through the development of the CUBS Canvas Template and membership in the CUBS Digital Learning & Teaching Committee.

• Spatio-temporal data modeling
• Mobile and web-based GIS
• Map personalisation
• +6 more

Michela Bertolotto is a Professor in the School of Computer Science at University College Dublin (UCD). Her research focuses on spatio-temporal data modeling, GIScience, and applications of geospatial technologies in fields like urban planning and health informatics. She leads a research group and has supervised 19 PhD and 8 MSc students. Her work includes innovations in LiDAR-based flood risk visualization, semantic web quality assurance, and open-source spatial data analysis. Bertolotto has held roles including College Lecturer at UCD (2000–2006) and postdoctoral research positions at the University of Maine and University of Genoa. Education: BSc and PhD in Computer Science from the University of Genoa (1993, 1998). Professional achievements include over 100 publications, 24 grants (e.g., Science Foundation Ireland-funded Urban ARK project), and editorial roles at journals like the International Journal of Geographical Information Science. Awards include the UCD President's Research Award (2001) and NATO Postdoc Fellowship (1998–1999). Research interests span map personalization, volunteered geographic information (VGI), and geospatial data quality. Her lab develops tools like the LAMSkyCam (low-cost sky imaging system) and dynamic flood risk viewers. She chairs international conferences and serves on program committees for GIScience events.

• Artificial Intelligence
• Healthcare Informatics
• Data Science
• +5 more

Luís B. Elvas is an Assistant Professor at ISCTE-University Institute of Lisbon's Department of Social and Business Sciences (SINTRA) and a Research Assistant at ISTAR-Iscte Research Center. He holds qualifications including a Technical Specialization in TensorFlow for AI (Coursera, 2021) and certifications in IoT/Blockchain from ISCTE and cybersecurity from Palo Alto Networks. His research spans artificial intelligence, healthcare informatics, smart cities, and blockchain, with applied work in medical imaging, data sharing, and urban analytics. Research interests include: Healthcare AI : Developing deep learning models for cardiac diagnostics, medical imaging analysis, and blockchain-based health data systems Smart Cities : Implementing IoT solutions for urban mobility optimization, disaster management, and sustainable transportation Data Science : Creating predictive analytics frameworks for clinical decision support and urban planning His publications demonstrate a strong focus on AI-driven healthcare solutions (67% of recent works) and smart city technologies (33%), with emerging interests in blockchain and NLP. Research consistently targets real-world applications in clinical settings and urban environments. Awards: Award for best internship, Order of Engineers (2022) Distinction for best internship, Order of Engineers (2021) He leads/contributes to multiple EU research consortia including AMR-EDUCare (antimicrobial resistance education), NEEM (e-health in Nepal), and Blockchain.PT. Coordinates the IEEE Computational Intelligence Society Student Branch Chapter at ISCTE and developed the ManagiDiTH master's program in digital health transformation.

• Biomedical Informatics
• Health Informatics
• Artificial Intelligence
• +7 more

Zhe He is a Full Professor at Florida State University (FSU), leading the eHealth Lab in the School of Information (iSchool) within the College of Communication & Information. He holds courtesy appointments in the Department of Behavioral Sciences and Social Medicine (College of Medicine), Department of Computer Science, and Department of Statistics. His research focuses on biomedical informatics, AI, and big data analytics, aiming to improve population health and advance biomedical research through informatics applications. He directs the Institute for Successful Longevity and co-leads the Biostatistics, Informatics, and Research Design Program (BIRD) of the UF-FSU Clinical and Translational Science Award. Education: Postdoctoral training at Columbia University (2015), PhD in Computer Science from NJIT (2014), MS from Columbia University (2009), and BE from Beijing University of Posts and Telecommunications (2007). Research Interests: Clinical trial generalizability, ontology quality assurance, consumer health informatics, and AI in medicine. His work bridges biomedical terminologies, patient engagement, and healthcare equity, with a focus on older adults and underserved populations. Grants & Funding: Over $21.9M in grants from NIH (NLM, NIA, NIMH), AHRQ, Amazon, NVIDIA, and Eli Lilly. Active grants include projects on medical marijuana effects, AI-driven clinical training, HIV prevention, and lab result interpretation tools for older adults. Awards & Honors: 2022 Lois Lunin Award (ASIS&T), FAMIA (2022), two AMIA Distinguished Paper Awards, and recognition for interdisciplinary research. Promoted to Full Professor in 2025 after early tenure as Associate Professor (2020). Labs & Teams: Directs the eHealth Lab and collaborates with跨学科 teams in the OneFlorida Data Trust, UF-FSU Clinical and Translational Science Award, and the National Center for Biotechnology Information (during sabbatical).

Brenton FaberView profile

Professor

• Healthcare Delivery Systems
• Medical Communication
• Pre-Hospital Care
• +3 more

Brenton Faber is a Humanities & Arts Professor affiliated with the Department of Biomedical Engineering at Worcester Polytechnic Institute (WPI) . He holds a B.A. in Political Science & English from the University of Waterloo (1992), an M.A. in English from Simon Fraser University (1993), and a Ph.D. in English from the University of Utah (1998). His research focuses on healthcare delivery for uninsured populations, medical writing, and the application of allostasis theory to healthcare systems. He volunteers as a practicing paramedic with rural ambulance squads and urban clinics. Education: B.A. (University of Waterloo), M.A. (Simon Fraser), Ph.D. (University of Utah) Faber’s lab investigates human factors in medical diagnosis and patient care, emphasizing pre-hospital care and clinical report analysis. His work integrates allostasis concepts to address chronic health conditions and patient decision-making. Current projects include a free urban clinic’s electronic database initiative and a 'food is medicine' program targeting hypertension/diabetes patients. He advises an undergraduate research team and co-founded the 'Medical Mystery' series in WPI’s student newspaper. His recent publications span healthcare logistics, emergency medicine, and discourse analysis. Notable works include The End of Genre (2022) and studies on community paramedicine optimization (2023). While no formal awards are listed, his contributions to medical communication and patient advocacy are central to his scholarly identity. Advising focuses on interdisciplinary teams addressing public health challenges. Collaborative grants are not explicitly mentioned, but his work with free clinics and paramedic squads highlights community-oriented engagement. His lab’s activities emphasize translational research bridging humanities and biomedical engineering disciplines.

George HendersonView profile

Professor

• Developmental Neuroscience
• Neurotoxicity
• Oxidative Stress
• +3 more

George Henderson is a Professor at the Texas Tech University Health Sciences Center in the Department of Pharmacology & Neuroscience . His research focuses on the neurotoxic effects of ethanol and environmental toxins during development, particularly mechanisms of apoptosis and oxidative stress in the brain and placenta. Primary Affiliation: Texas Tech University Health Sciences Center Research Areas: Developmental neuroscience, neurotoxicity, oxidative stress, fetal alcohol spectrum disorder, nanoparticle drug delivery Research Trends: His publications from 1972–2023 show sustained expertise in ethanol-induced developmental damage, placental drug transport mechanisms, and antioxidant therapeutic strategies. Recent work (2023) explores chlorogenic acid as a neuroprotective agent via NFATc4/CSE pathways. Key Collaborations: Institute for One Health Innovation and translational neuroscience teams at TTUHSC.

Lee M. MillerView profile

Professor

• Neuroengineering
• Computational Neuroscience
• Auditory and Speech Processing
• +4 more

Lee M. Miller is a Professor and Vice Chair of Academic Affairs in the Department of Neurobiology, Physiology and Behavior at the University of California, Davis, affiliated with the Center for Mind and Brain. His research focuses on neuroengineering, computational neuroscience, and neural mechanisms underlying attention, speech processing, and multisensory integration. Research interests include the development of neural prosthetics, decoding of neuromuscular signals for prosthetic control, and understanding how auditory and visual systems interact during speech perception and attentional processes. His work bridges clinical applications (e.g., cochlear implants) with fundamental neuroscience, leveraging tools like electrophysiological recordings, EEG/MEG, and advanced signal processing techniques. Recent publications highlight innovations in electromyographic speech neuroprosthetics, the topology of neuromuscular signals, and the neural basis of speech-in-noise processing. Miller’s studies emphasize translational potential, such as improving speech synthesis from brain signals and designing haptic feedback systems for motor coordination. His contributions have advanced understanding of neural mechanisms in sensory integration, auditory attention, and the impact of cognitive factors on perception. Miller maintains a lab dedicated to these interdisciplinary efforts, with a focus on both basic science and clinical applications.

Nazli GoharianView profile

Clinical Professor

• Information Retrieval
• Text Mining
• Natural Language Processing
• +1 more

Nazli Goharian is a Clinical Professor of Computer Science at Georgetown University and Associate Director of the Information Retrieval Lab. She holds a PhD from Florida Institute of Technology and joined Georgetown in 2010 after industry experience and previous academic positions at Illinois Institute of Technology. Education: PhD Computer Science, Florida Institute of Technology (2001) MSc Computer Science, George Mason University (1995) BSc Computer Science, Dortmund University (1992) Her research spans information retrieval, text mining, and natural language processing with applications in health/medical domains. She focuses on developing computational methods for medical search, mental health analysis from social media, clinical text summarization, and adverse drug reaction detection. Her recent publications (2020-2016) predominantly focus on neural ranking models, transformer architectures for document retrieval, and clinical NLP applications. Notable trends include work on BERT-based re-ranking, zero-shot multilingual retrieval, and ontology-aware medical summarization. Awards & Honors: EMNLP 2017 Best Long Paper Award COLING 2018 Honorable Mention & Area Chair Favorite Julia Beveridge Award for Faculty (IIT, 2009) Multiple Teaching Excellence Awards (2002-2007) Research Leadership: She has supervised 6 PhD students to completion with placements at leading institutions. Secured over $500,000 in research funding from NSF, Adobe, and international partners. Founded the Semi-Annual Graduate Research Presentation Days at Georgetown and served as Program Chair for ECIR 2024. She leads the Information Retrieval Lab which focuses on developing novel algorithms for efficient document retrieval, cross-lingual search, and specialized applications in healthcare text analysis.

Andrew McArthurView profile

Professor

• Bioinformatics
• Genomics
• Antimicrobial Resistance
• +5 more

Andrew McArthur is a Professor in the Department of Biochemistry & Biomedical Sciences at McMaster University, where he leads the McArthur Laboratory. His research focuses on bioinformatics , genomics , and computational biology with a specialization in genomic surveillance of antimicrobial resistance (AMR) . He spearheads the Comprehensive Antibiotic Resistance Database (CARD) and collaborates with the Canadian Anti-Infective Innovation Network (CAIN) , GenEpio Consortium , and IRIDA Platform for pathogen genomics. Education : PhD in Biochemistry (University of Victoria, 1996), Postdoctoral work at Marine Biological Laboratory (1998-1999) and National Museum of Natural History (1996-1998) His research spans antimicrobial resistance surveillance , machine learning applications , viral genomics (including SARS-CoV-2), and pathogen evolution . He has developed tools like CARD and IRIDA to standardize AMR data and enable rapid infectious disease analysis. Recent work includes machine learning models for predicting AMR, cloud-based pathogen detection , and resistome profiling in clinical and environmental contexts. He has mentored graduate students including Jalees Nasir (HSGSA Impact Award 2025), Dirk Hackenberger , Autumn Arnold , and Emily Bordeleau , as well as postdoctoral fellows like Sheridan Baker . His teaching includes courses in practical bioinformatics and biomedical consulting at McMaster University.